Publications about 'Matrices'

Thesis

1. Pooja S. Mahapatra. Geodetic network design for InSAR: Application to ground deformation monitoring. PhD thesis, TU Delft, 2015. Keyword(s): SAR Processing, InSAR Persistent Scatterer Interferometry, PSI, GNSS, Transponder, Geodetic Network. [Abstract] [bibtex-entry]

Articles in journal or book chapters

1. F. Rosu, A. Anghel, R. Cacoveanu, B. Rommen, and M. Datcu. Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:5823-5832, 2020. Keyword(s): autoregressive processes, covariance matrices, eigenvalues and eigenfunctions, radar receivers, radar resolution, radar transmitters, spaceborne radar, synthetic aperture radar, Romania, Bucharest city, eigenvalues, spatial smoothing, principle component analysis, full rank covariance matrix, bistatic data, integer multiple, Akaike information criterion, multiaperture range image, back-projection focusing, autoregressive model, azimuth samples, slow time resampling, antenna pattern compensation, satellite bursts, range compressed pulses, azimuth apertures, azimuth resolution, spaceborne transmitter-stationary receiver bistatic SAR, azimuth focusing, Azimuth, Receivers, Apertures, Focusing, Synthetic aperture radar, Chirp, Satellites, Autoregressive (AR) model, bistatic synthetic aperture radar (SAR), focusing, order estimation, signal reconstruction. [Abstract] [bibtex-entry]



2. Simona Verde, Antonio Pauciullo, Diego Reale, and Gianfranco Fornaro. Multiresolution Detection of Persistent Scatterers: A Performance Comparison Between Multilook GLRT and CAESAR. IEEE Transactions on Geoscience and Remote Sensing, pp 1-16, 2020. Keyword(s): Monitoring, Detectors, Spatial resolution, Signal resolution, Tomography, Covariance matrices, Strain, Detection, generalized likelihood ratio test (GLRT), persistent scatterers (PS), SAR tomography.. [Abstract] [bibtex-entry]



3. Meenu Rani, S. B. Dhok, and R. B. Deshmukh. A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications. IEEE Access, 6:4875-4894, 2018. Keyword(s): Compressive Sensing, CS, Sensors, Transforms, Mathematical model, Sparse matrices, Compressed sensing, Reconstruction algorithms, Image reconstruction, systematic review, compressive sensing, sensing modality, sparse representation, compressible representation, Nyquist sampling rate, varied reconstruction algorithms, compressive measurements, CS acquisition strategies, signal representation, transform domain, sparsity, random demodulator, CS reconstruction algorithms, OMP, CS applications. [Abstract] [bibtex-entry]



4. Homa Ansari, Francesco De Zan, and Richard Bamler. Sequential Estimator: Toward Efficient InSAR Time Series Analysis. IEEE Transactions on Geoscience and Remote Sensing, 55(10):5637-5652, October 2017. Keyword(s): SAR Processing, SAR Interferometry, InSAR, differential SAR interferometry, D-InSAR, covariance matrices, data compression, image coding, radar imaging, radar interferometry, synthetic aperture radar, time series, Big Data, InSAR time series analysis, compressed data batch artificial interferograms, data batch compression, data covariance matrix analysis, data reduction, high-precision near-real-time processing, interferometric phase estimation, recursive estimation, sequential estimator, virtual image estimator, wide-swath synthetic aperture radar mission, Coherence, Earth, Maximum likelihood estimation, Monitoring, Synthetic aperture radar, Time series analysis, Big Data, coherence estimation error, data compression, differential interferometric synthetic aperture radar (DInSAR), distributed scatterers, efficiency, error analysis, low-rank approximation, maximum-likelihood estimation (MLE). [Abstract] [bibtex-entry]



5. J. I. Buskenes, Roy E. Hansen, and A. Austeng. Low-Complexity Adaptive Sonar Imaging. IEEE Journal of Oceanic Engineering, 42(1):87-96, January 2017. Keyword(s): Synthetic Aperture Sonar, SAS, Sonar, array signal processing, interference suppression, sonar imaging, DAS beamformer, Hamming window function, Kaiser window, Kongsberg Maritime HISAS1030 sonar, LCA beamformer, delay-and-sum beamformer, gain -3 dB, interference minimization, low-complexity adaptive sonar imaging, minimum variance distortionless response, parallel hardware, rectangular window function, robust MVDR implementation, spatial statistics, Array signal processing, Arrays, Covariance matrices, Image resolution, Imaging, Robustness, Sonar, Active, LCA, MVDR, active filters, adaptive beamforming, adaptive filters, beamforming, complexity, computational complexity, phased arrays, sonar, spatial filters. [Abstract] [bibtex-entry]



6. Ning Cao, Hyongki Lee, and H. C. Jung. A Phase-Decomposition-Based PSInSAR Processing Method. IEEE Transactions on Geoscience and Remote Sensing, 54(2):1074-1090, February 2016. Keyword(s): radar interferometry, synthetic aperture radar, coherence, distributed scatterer, eigendecomposition, measurement points, multiple scattering mechanisms, persistent scatterer network density, phase-decomposition-based persistent scatterer InSAR method, spatial density, Coherence, Covariance matrices, Decision support systems, Eigenvalues and eigenfunctions, Synthetic aperture radar, Urban areas, Differential interferometric synthetic aperture radar (DInSAR), distributed scatterer (DS) interferometry, persistent scatterer (PS) interferometry (PSI), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



7. Timothy M. Marston and Jermaine L. Kennedy. Volumetric Acoustic Imaging via Circular Multipass Aperture Synthesis. IEEE Journal of Oceanic Engineering, 41(4):852-867, October 2016. Keyword(s): SAR Processing, SAR Tomography, SAS Tomography, Synthetic Aperture Sonar, SAS, Synthetic Aperture Radar, Circular SAR, Circular SAS, Apertures, Arrays, Navigation, Synthetic aperture radar, Synthetic aperture sonar, Tomography, Compressive sensing, multipass sonar, synthetic aperture sonar (SAS), tomography, volumetric imaging. [Abstract] [bibtex-entry]



8. Ning Cao, Hyongki Lee, and H. C. Jung. Mathematical Framework for Phase-Triangulation Algorithms in Distributed-Scatterer Interferometry. IEEE Geoscience and Remote Sensing Letters, 12(9):1838-1842, Sept 2015. Keyword(s): geophysical techniques, mathematical analysis, maximum likelihood estimation, phase estimation, radar interferometry, DS interferometry procedure, coherence-weighted PT, distributed-scatterer interferometry, eigendecomposition-based phase estimator, equal-weighted PT, estimation procedure weight value, least square estimator, mathematical framework, mathematical relation analysis, maximum-likelihood phase estimator, modified PT algorithm, persistent-scatterer interferometry measurement point, phase-triangulation algorithm, published PT method, Coherence, Covariance matrices, Interferometry, Maximum likelihood estimation, Remote sensing, Synthetic aperture radar, Differential interferometric synthetic aperture radar (DInSAR), distributed scatterer (DS) interferometry, persistent scatterer (PS) interferometry (PSI), phase triangulation (PT), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



9. Gianfranco Fornaro, Simona Verde, Diego Reale, and Antonio Pauciullo. CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline - Multitemporal Interferometric SAR Processing. IEEE Trans. Geosci. Remote Sens., 53(4):2050-2065, April 2015. Keyword(s): SAR Processing, SAR Tomography, Component Extraction And selection SAR, CEASAR, Spaceborne SAR, multilook SAR tomography, X-Band, Urban, Persistent Scatterer Interferometry, PSI, covariance matrices, geophysical signal processing, matrix decomposition, principal component analysis, radar interferometry, radar signal processing, remote sensing by radar, synthetic aperture radar, tomography, CAESAR, Component Extraction and Selection SAR algorithm, SAR tomography, SqueeSAR, classical interferometric processing, coherence losses, covariance matrix analysis, covariance matrix decomposition, data covariance matrix, equivalent scattering mechanisms, ground deformation monitoring, high resolution Cosmo-SkyMed data, high resolution interferometric SAR sensors, interferometic stac filtering, multibaseline-multitemporal interferometric SAR processing, multilook operation, multiple scatterers, principal component analysis, synthetic aperture radar, Covariance matrices, Interferometry, Monitoring, Scattering, Spatial resolution, Synthetic aperture radar, Tomography, 3-D, 4-D and multidimensional (Multi-D) SAR imaging, Covariance matrix decomposition, SAR interferometry (InSAR), SAR tomography. [Abstract] [bibtex-entry]



10. Pooja S. Mahapatra, Sami Samie Esfahany, and Ramon F. Hanssen. Geodetic Network Design for InSAR. IEEE Trans. Geosci. Remote Sens., 53(7):3669-3680, July 2015. Keyword(s): SAR Processing, InSAR, GNSS, persistent scatterer interferometry, covariance matrices, deformation, geodesy, geomorphology, geophysical techniques, network theory (graphs), radar interferometry, remote sensing by radar, synthetic aperture radar, InSAR measurement, coherent target device deployment, covariance matrices, criterion matrix, deformation signal, densification measurement, geodesic network design methodology, ground deformation measurement, interferometric synthetic aperture radar, network optimization, optimal ground location, Covariance matrices, Deformable models, Geophysical measurements, Redundancy, Synthetic aperture radar, Coherent target, compact active transponder, corner reflector, criterion matrix, economy, geodesy, interferometric synthetic aperture radar (InSAR), network design, precision, reliability. [Abstract] [bibtex-entry]



11. S. Zwieback and I. Hajnsek. Statistical Tests for Symmetries in Polarimetric Scattering Coherency Matrices. IEEE_J_GRSL, 11(1):308-312, January 2014. Keyword(s): airborne radar, covariance matrices, geophysical equipment, geophysical techniques, invariance, radar polarimetry, scattering, statistical testing, Freeman-Durden decomposition, SAR polarimetry, airborne L-band data, covariance matrix, likelihood-ratio testing, mature rape field, polarimetric scattering coherency matrix, reflection invariance hypothesis, reflection symmetry, second-order statistics, synthetic aperture radar polarimetry, vegetation growth, Parametric statistics, polarimetric synthetic aperture radar, radar remote sensing. [bibtex-entry]



12. Emmanuel J. Candès, Xiaodong Li, Yi Ma, and John Wright. Robust Principal Component Analysis. J. ACM, 58(3), June 2011. Keyword(s): Principal components, sparsity, robustness vis-a-vis outliers, L1-norm minimization, nuclear-norm minimization, duality, low-rank matrices, video surveillance. [Abstract] [bibtex-entry]



13. Francesco De Zan and Paco López-Dekker. SAR Image Stacking for the Exploitation of Long-Term Coherent Targets. IEEE Geosci. Remote Sens. Lett., 8(3):502-506, May 2011. Keyword(s): SAR Processing, SAR interferometry, Interferometry, differential interferometry, InSAR, DInSAR, Coherence, Decorrelation, Estimation, Interferometry, Noise, Stacking, Synthetic aperture radar, covariance matrices, filtering theory, radar imaging, synthetic aperture radar, SAR image stacking, TerraSAR-X data, coherent temporal filtering, covariance matrix, long-term coherent targets, long-term interferograms, signal to noise ratio, synthetic aperture radar images, Synthetic aperture radar interferometry;. [Abstract] [bibtex-entry]



14. R.G. Baraniuk, E. Candes, M. Elad, and Yi Ma. Applications of Sparse Representation and Compressive Sensing [Scanning the Issue]. Proceedings of the IEEE, 98(6):906-909, june 2010. Keyword(s): NP-hard, compressive sensing, convex optimization, greedy methods, high-dimensional data, linear combination, overcomplete dictionary, sparse representation, computational complexity, signal processing, sparse matrices;. [Abstract] [bibtex-entry]



15. E.J. Candes and Y. Plan. Matrix Completion With Noise. Proceedings of the IEEE, 98(6):925-936, june 2010. Keyword(s): compressed sensing, convex optimization problem, data constraints, low rank matrices, matrix completion, nuclear norm minimization, data integrity, matrix algebra, minimisation, noise, signal sampling;. [Abstract] [bibtex-entry]



16. E.J. Candes and T. Tao. The Power of Convex Relaxation: Near-Optimal Matrix Completion. IEEE Transactions on Information Theory, 56(5):2053-2080, May 2010. Keyword(s): collaborative filtering, convex relaxation, free probability, information theoretic limit, matrix completion problem, near-optimal matrix completion, nuclear norm minimization, random matrices, random matrix theory, semidefinite programming, convex programming, information theory, random processes;. [Abstract] [bibtex-entry]



17. Lin Du, Jian Li, and Petre Stoica. Fully Automatic Computation of Diagonal Loading Levels for Robust Adaptive Beamforming. IEEE Transactions on Aerospace and Electronic Systems, 46(1):449-458, January 2010. Keyword(s): Capon, array signal processing, covariance matrices, fully automatic computation, diagonal loading levels, robust adaptive beamforming, covariance matrix estimate, Capon beamforming formulation, Robustness, Array signal processing, Covariance matrix, Degradation, Councils, Uncertainty, Guidelines, Spatial filters, Signal to noise ratio, Calibration. [Abstract] [bibtex-entry]



18. Dawei Liu, Guoqing Sun, Zhifeng Guo, K.J. Ranson, and Yang Du. Three-Dimensional Coherent Radar Backscatter Model and Simulations of Scattering Phase Center of Forest Canopies. IEEE Trans. Geosci. Remote Sens., 48(1):349-357, January 2010. Keyword(s): 3D coherent radar backscatter model, InSAR signals, SAR interferometric data, canopy height, canopy spatial structure, forest canopies, forest stand, forest structural parameters, ground surface backscattering, interferometric SAR, scattering phase center simulations, synthetic aperture radar, time delay, backscatter, geophysical signal processing, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation;. [Abstract] [bibtex-entry]



19. Maxim Neumann, Laurent Ferro-Famil, and Andreas Reigber. Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data. IEEE Trans. Geosci. Remote Sens., 48(3):1086-1104, March 2010. Keyword(s): SAR Processing, Multibaseline SAR, Germany, PolInSAR, RVoG, vertical structure, Traunstein test site, airborne SAR, L-band, angular distribution, canopy layer heights, differential extinction, double-bounce ground-trunk interactions, forest layer heights, forest parameter retrieval, forest structure estimation, forest vegetation, ground topography, ground-to-volume ratio, ground-truth measurements, interferometric coherence, particle scattering anisotropy, polarimetric Synthetic Aperture Radar interferometry, polarimetric decomposition, polarimetric scattering media model, polarization orientation randomness, random-volume-over-ground PolInSAR parameter inversion, repeat-pass configuration, root-mean-square error, surface scattering, temporal decorrelation, tree morphology, volume coherency matrices, volumetric canopy, volumetric understory scattering, wave attenuation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]



20. Thomas L. Ainsworth, Laurent Ferro-Famil, and Jong-Sen Lee. Orientation angle preserving a posteriori polarimetric SAR calibration. IEEE Trans. Geosci. Remote Sens., 44(4):994-1003, April 2006. Keyword(s): SAR Processing, Polarimetry, Polarimetric Calibration, calibration, radar polarimetrybackscatter, calibration, covariance matrices, geophysical techniques, radar polarimetry, remote sensing by radar, synthetic aperture radar, SAR data analysis, a posteriori polarimetric SAR calibration, anechoic chamber data, orientation angle, polarimetric channels, polarimetric covariance matrix, polarimetric distortion, polarimetric fidelity, polarimetric synthetic aperture radar, radar polarimetry, scattering reciprocity, Calibration, Costs, Covariance matrix, Data analysis, Equations, Parameter estimation, Polarimetric synthetic aperture radar, Radar scattering, Soil moisture, Synthetic aperture radar, Calibration, radar polarimetry. [Abstract] [bibtex-entry]



21. E.J. Candes, J. Romberg, and T. Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(2):489-509, feb. 2006. Keyword(s): Fourier coefficient, convex optimization, discrete-time signal, image reconstruction, incomplete frequency information, linear programming, minimization problem, nonlinear sampling theorem, piecewise constant object, probability value, robust uncertainty principle, signal reconstruction, sparse random matrix, trigonometric expansion, Fourier analysis, convex programming, image reconstruction, image sampling, indeterminancy, linear programming, minimisation, piecewise constant techniques, probability, signal reconstruction, signal sampling, sparse matrices;. [Abstract] [bibtex-entry]



22. Y. Yamaguchi, Y. Yajima, and H. Yamada. A four-component decomposition of POLSAR images based on the coherency matrix. IEEE Geosci. Remote Sens. Lett., 3(3):292 -296, July 2006. Keyword(s): POLSAR image decomposition, coherency matrix, covariance matrix, four-component decomposition, nonreflection symmetric scattering, polarimetric SAR, synthetic aperture radar, covariance matrices, geophysical techniques, image processing, radar polarimetry, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]



23. E.J. Candes and T. Tao. Decoding by linear programming. IEEE Transactions on Information Theory, 51(12):4203-4215, December 2005. Keyword(s): Gaussian random matrix, basis pursuit, linear code decoding, linear programming, minimization problem, natural error correcting problem, simple convex optimization problem, sparse solution, uncertainty principle, Gaussian processes, convex programming, decoding, error correction codes, indeterminancy, linear codes, linear programming, minimisation, random codes, sparse matrices;. [Abstract] [bibtex-entry]



24. Y. Yamaguchi, T. Moriyama, M. Ishido, and H. Yamada. Four-component scattering model for polarimetric SAR image decomposition. IEEE Trans. Geosci. Remote Sens., 43(8):1699-1706, August 2005. Keyword(s): SAR Processing, polarimetric decomposition, Yamaguchi decomposition, asymmetric covariance matrix, cloud, co-pol correlation, cross-pol correlation, dipole scatterers, double bounce scattering, four-component scattering model, helix scattering power, image decomposition, nonreflection symmetric scattering, polarimetric SAR, probability density function, radar polarimetry, reflection symmetry condition, scattering contribution decomposition, surface scattering, symmetric covariance matrix, synthetic aperture radar, three-component decomposition method, urban area scattering, volume scattering, covariance matrices, geophysical signal processing, probability, radar polarimetry, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]



25. Shane R. Cloude and Eric Pottier. A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34(2):498-518, March 1996. Keyword(s): S-matrix theory, backscatter, covariance matrices, eigenvalues and eigenfunctions, geophysical signal processing, matrix decomposition, radar cross-sections, radar imaging, radar polarimetry, remote sensing by radar, reviews, Mueller matrix, Stokes vector, coherency matrix, coherent decomposition, covariance matrix, eigenvector analysis, scattering matrix, target decomposition theorems, terrain, transformation theory. [Abstract] [bibtex-entry]



26. Michael W. Whitt, Fawwaz T. Ulaby, Paul Polatin, and Valdis V. Liepa. A general polarimetric radar calibration technique. IEEE Transactions on Antennas and Propagation, 39(1):62-67, January 1991. Keyword(s): Polarimetric Calibration, calibration, polarimetry, radar systems, distortion matrices, general polarimetric radar calibration technique, received waves, scattering matrices, single-antenna radar, transmitted waves, Calibration, Distortion measurement, Layout, Phase measurement, Polarization, Radar antennas, Radar imaging, Radar measurements, Radar polarimetry, Radar scattering. [Abstract] [bibtex-entry]



27. M. W. Whitt and F. T. Ulaby. A polarimetric radar calibration technique with insensitivity to target orientation. Radio Science, 25(6):1137-1143, 1990. Keyword(s): Polarimetric Calibration, Measurement and standards, Electromagnetics: Instrumentation and techniques, Techniques applicable in three or more fields. [Abstract] [bibtex-entry]



28. Jakob J. van Zyl. Calibration of polarimetric radar images using only image parameters and trihedral corner reflector responses. IEEE Trans. Geosci. Remote Sens., 28(3):337-348, May 1990. Keyword(s): SAR Processing, Polarimetry, Polarimetric Calibration, calibration, polarimetry, radar measurement, remote sensing, C-band, L-band, Stokes matrix, absolute amplitude, calibration, compressed data, image parameters, natural targets, polarimetric radar images, radar return, receive matrices, relative amplitude, relative phase, remote sensing, scattering matrix, system crosstalk, terrain, transmit matrix, trihedral corner reflector responses, Calibration, Crosstalk, Frequency estimation, Image coding, Parameter estimation, Pixel, Radar imaging, Radar polarimetry, Radar scattering, Transmitters. [Abstract] [bibtex-entry]



29. M. Borgeaud, R.T. Shin, and J.A. Kong. Theoretical Models For Polarimetric Radar Clutter. Journal of Electromagnetic Waves and Applications, 1(1):73-89, 1987. [Abstract] [bibtex-entry]



30. John W. Brewer. Kronecker products and matrix calculus in system theory. IEEE Transactions on Circuits and Systems, 25(9):772-781, September 1978. Keyword(s): Algebra, Algebraic and geometric techniques, Linear systems, time-invariant continuous-time, Matrix functions, Parameter identification, Algebra, Calculus, Feedback, Helium, Matrices, Sensitivity analysis, Steady-state, Stochastic systems, Subspace constraints, Sufficient conditions. [Abstract] [bibtex-entry]

Conference articles

1. Marc Jäger, Muriel Pinheiro, Octavio Ponce, Andreas Reigber, and Rolf Scheiber. A Survey of novel airborne SAR signal processing techniques and applications for DLR's F-SAR sensor. In Proc. 16th Int. Radar Symp. (IRS), pages 236-241, June 2015. Keyword(s): airborne radar, image filtering, radar detection, radar imaging, radar interferometry, radar polarimetry, radar resolution, synthetic aperture radar, DLR F-SAR sensor, SAR imaging capability, advanced filtering, airborne SAR signal processing technique, dual-frequency SAR interferometry, high resolution circular SAR imaging, large baseline, polarimetric change detection, precise DEM generation, Covariance matrices, Image resolution, Imaging, Interferometry, Radar polarimetry, Speckle, Synthetic aperture radar. [bibtex-entry]



2. Thomas M. Benson, Daniel P. Campbell, and Daniel A. Cook. Gigapixel spotlight synthetic aperture radar backprojection using clusters of GPUs and CUDA. In 2012 IEEE Radar Conference, pages 0853-0858, May 2012. Keyword(s): SAR Processing, Back-Projection, Time-Domain Back-Projection, TDBP, CUDA, GPU, SAR Focusing, Azimuth Focusing, fast Fourier transforms, graphics processing units, parallel architectures, radar computing, radar imaging, resource allocation, synthetic aperture radar, CUDA Clusters, GPU Clusters, SAR image formation, computing nodes, fast Fourier transforms, gigapixel scale data set, gigapixel spotlight synthetic aperture radar backprojection, graphics processing units, image formation algorithms, image formation framework, nonplanar surfaces, wavefront planarity, Graphics processing unit, History, Interpolation, Kernel, Scalability, Sparse matrices, Synthetic aperture radar. [Abstract] [bibtex-entry]



3. E. Candes, Xiaodong Li, Yi Ma, and J. Wright. Robust principal component analysis?: Recovering low-rank matrices from sparse errors. In Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, pages 201-204, October 2010. Keyword(s): bioinformatics, computer vision, low rank data matrix, nonvanishing fraction, nuclear norm, positive fraction, robust principal component analysis, simple convex program, weighted combination, matrix algebra, principal component analysis;. [Abstract] [bibtex-entry]



4. E. Candes, N. Braun, and M. Wakin. SPARSE SIGNAL AND IMAGE RECOVERY FROM COMPRESSIVE SAMPLES. In Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on, pages 976-979, april 2007. Keyword(s): compressive sampling, data acquisition, image recovery, magnetic resonance imaging, medical imaging, model-based framework, random measurements, random noise-like basis, signal reconstruction, sparse signal recovery, biomedical MRI, biomedical measurement, data acquisition, image coding, image reconstruction, image sampling, medical image processing, random noise, sparse matrices;. [Abstract] [bibtex-entry]



5. J. Li and P. Stoica. Versatile robust Capon beamforming: theory and applications. In Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004, pages 38-42, July 2004. Keyword(s): SAR Processing, SAR Tomography, Tomography, Capon, Robust Capon Beamforming, RCB, acoustic imaging, array signal processing, beam steering, channel bank filters, covariance matrices, ground penetrating radar, image resolution, interference (signal), landmine detection, radar imaging CBRCB, CPRCB, DCRCB, FLGPR imaging system, RCF, SCB, constant-beamwidth RCB, constant-powerwidth RCB, covariance fitting formulation, doubly constrained robust Capon beamformer, forward-looking ground penetrating radar, interference rejection, rank-deficient robust Capon filter-bank approach, resolution, spectral estimation, standard Capon beamformer, steering vector. [Abstract] [bibtex-entry]



6. J.S. Lee, D.L. Schuler, T.L. Ainsworth, and W.-M. Boerner. Polarization orientation estimation and applications: a review. In IEEE International Geoscience and Remote Sensing Symposium, 2003. IGARSS '03., volume 1, pages 428-430, July 2003. Keyword(s): SAR Processsing, calibration, covariance matrices, data acquisition, radar polarimetry, remote sensing by radar, spaceborne radar, synthetic aperture radar, terrain mapping DEM generation, AIRSAR, L-band, polarimetric SAR images, P-band, SIR-C, circular polarization covariance matrix, estimation algorithms, ocean surface feature characterization, polarimetric SAR data compensation, polarimetric calibration, polarization orientation angle shifts, polarization orientation estimation, radar frequency, scattering media, terrain slopes, Airborne SAR. [Abstract] [bibtex-entry]



7. T. Ekman, A. Jakobsson, and Petre Stoica. On the efficient implementation of the Capon spectral estimator. In 2000 10th European Signal Processing Conference, pages 1-4, Sep. 2000. Keyword(s): Capon, Spectral estimation, beamforming, Beamforming, Amplitude and phase preserving Capon, Covariance matrices, Frequency estimation, Estimation, Signal resolution, Signal to noise ratio, Vectors, Spectral analysis. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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